{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9b1a43a8",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\liangcheng\\AppData\\Local\\Temp\\ipykernel_8564\\2159175401.py:32: FutureWarning: 'w' is deprecated and will be removed in a future version, please use 'W' instead.\n",
      "  df = df.resample(freq).agg({'open': 'first', 'close': 'last'})\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "涨跌幅大于 2% 概率：0.3407\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import akshare as ak\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import MultipleLocator, MaxNLocator\n",
    "import datetime\n",
    "\n",
    "# === 用户可配置参数 ===\n",
    "freq = 'w'  # 数据频率：'D' 每日, 'W' 每周, 'M' 每月, 'Q' 每季度\n",
    "bin_width = 0.2  # X轴的涨跌幅刻度单位（百分比）\n",
    "years = 8  # 回溯年数\n",
    "\n",
    "# === 日期处理 ===\n",
    "today = datetime.datetime.today()\n",
    "full_start_date = (today - pd.DateOffset(years=years)).strftime('%Y%m%d')\n",
    "end_date = today.strftime('%Y%m%d')\n",
    "start_date = pd.to_datetime(full_start_date)\n",
    "\n",
    "# === 获取数据，注意此处 df 的列名应为英文 ===\n",
    "# df = 你实际获取的 DataFrame，列名应该已经是英文：date, open, close 等\n",
    "\n",
    "df = ak.stock_zh_a_daily(symbol=\"sh600536\", start_date=full_start_date, end_date=end_date, adjust=\"qfq\")\n",
    "df['date'] = pd.to_datetime(df['date'])  # 用英文字段\n",
    "df = df[['date', 'open', 'close']]  # 保留必要字段\n",
    "\n",
    "# 筛选数据\n",
    "df = df[df['date'] >= start_date].copy()\n",
    "df.sort_values('date', inplace=True)\n",
    "df.set_index('date', inplace=True)\n",
    "\n",
    "# 重采样（按频率转换）\n",
    "if freq != 'D':\n",
    "    df = df.resample(freq).agg({'open': 'first', 'close': 'last'})\n",
    "    df.dropna(inplace=True)\n",
    "\n",
    "# 添加涨跌幅（百分比）\n",
    "df['涨跌幅'] = df['close'].pct_change() * 100\n",
    "df.dropna(subset=['涨跌幅'], inplace=True)\n",
    "\n",
    "# === 绘图 ===\n",
    "fig, ax = plt.subplots(figsize=(18, 6))\n",
    "\n",
    "# 自动计算直方图区间数\n",
    "min_change = df['涨跌幅'].min()\n",
    "max_change = df['涨跌幅'].max()\n",
    "bins = int((max_change - min_change) / bin_width)\n",
    "n, bins, patches = ax.hist(df['涨跌幅'], bins=bins, rwidth=0.9, edgecolor='black')\n",
    "\n",
    "\n",
    "upper_bound = 2\n",
    "\n",
    "# 筛选在区间内的数据\n",
    "within_range = df[(df['涨跌幅'] >= upper_bound)]\n",
    "\n",
    "# 计算次数和概率\n",
    "count_within_range = len(within_range)\n",
    "total_count = len(df)\n",
    "probability_within_range = count_within_range / total_count\n",
    "\n",
    "# 打印结果\n",
    "print(f\"涨跌幅大于 {upper_bound}% 概率：{probability_within_range:.4f}\")\n",
    "\n",
    "\n",
    "# 设置X轴刻度间距\n",
    "ax.xaxis.set_major_locator(MultipleLocator(bin_width))\n",
    "\n",
    "# 设置颜色：涨（红），跌（绿）\n",
    "for patch in patches:\n",
    "    if patch.get_x() + patch.get_width() / 2 >= 0:\n",
    "        patch.set_facecolor('red')\n",
    "    else:\n",
    "        patch.set_facecolor('green')\n",
    "\n",
    "# 设置标签和标题\n",
    "ax.set_xlabel(\"涨跌幅（%）\", fontsize=12)\n",
    "ax.set_ylabel(\"出现次数\", fontsize=12)\n",
    "ax.set_title(f\"比亚迪（002594）近{years}年 {freq} 级别涨跌幅分布\", fontsize=14)\n",
    "\n",
    "# 设置Y轴为整数\n",
    "ax.yaxis.set_major_locator(MaxNLocator(integer=True))\n",
    "\n",
    "# X轴标签旋转\n",
    "plt.xticks(rotation=-90)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  }
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